The research, published in the journal Parasites & Vectors, was led by Tyler Maire and colleagues at the Florida Medical Entomology Laboratory, part of the University of Florida’s Institute of Food and Agricultural Sciences, working with the Indian River Mosquito Control District. The team set out to close a stubborn gap in mosquito-borne risk assessment. Standard surveillance relies heavily on entomological indicators—trap counts, species composition, infection rates—but these measures never capture the behavioral half of the equation: the human routines, habits, and protective choices that determine whether an infected mosquito ever encounters skin.

To measure bite exposure directly, the researchers built a smartphone-based reporting system called Bite Diary, a progressive web application that allowed participants to log bites and outdoor activity in near real time. The study unfolded in suburban neighborhoods of Indian River County, Florida, between July 2024 and June 2025, a full year that captured seasonal swings in mosquito pressure. Each participant recorded bites and time spent outside over a four-day reporting period. In parallel, the team deployed mosquito traps in participants’ own yards during the first 24 hours of enrollment, using CO2-baited BG-Sentinel traps alongside ultraviolet-light-based devices to sample the local mosquito population where people actually live.

Recruitment brought 83 individuals into the study, 71 of whom registered for the app, and 32 of whom completed a follow-up online survey. Over the study period, participants submitted 70 bite records. The geographic pattern was unambiguous: 92.9 percent of reported bites occurred outdoors, and 73.6 percent happened at home. Rather than lurking indoors or striking far from the house, biting mosquitoes were overwhelmingly a backyard and doorstep phenomenon, encountered during everyday outdoor life rather than on exotic excursions.

The headline number is deceptively modest. Across all participants, the average bite exposure rate was 0.29 bites per person per day, with a 95 percent confidence interval of 0.09 to 0.49. But the average conceals enormous individual variation, and it is precisely this heterogeneity that matters for disease transmission. In epidemiological terms, transmission is driven not by the population mean but by the small fraction of people who receive a disproportionate share of bites. A self-reported average near zero can coexist with individuals experiencing frequent, repeated exposure—the people most likely to encounter an infected mosquito first.

The trapping effort painted an equally detailed picture of the biting population. Across 78 residential yards, the team collected 3,788 female mosquitoes, dominated by species with well-established public health credentials: Aedes aegypti, the yellow fever mosquito and primary urban vector of dengue; Aedes albopictus, the Asian tiger mosquito; Aedes taeniorhynchus, the black salt marsh mosquito notorious along Florida’s coasts; and the southern house mosquito complex members Culex nigripalpus and Culex quinquefasciatus, key vectors of West Nile virus and St. Louis encephalitis. This diversity is typical of suburban Florida, where container-breeding Aedes species and wetland-associated Culex species coexist within a few hundred meters of one another.

Then came the analytical twist. Using generalized linear mixed models—a statistical framework that can account for repeated measures from the same individuals and clustered data across neighborhoods—the researchers tested whether the number of mosquitoes trapped in a person’s yard predicted the number of bites that person reported. It did not. Yard-level mosquito abundance, the very metric that drives much routine surveillance, showed no association with self-reported bite exposure. What did predict bites was behavior: time spent outdoors during the evening hours of 5:00 p.m. to 9:00 p.m. was positively associated with bite exposure, consistent with the crepuscular and nocturnal activity patterns of many local vector species, particularly Culex mosquitoes that feed most actively from dusk onward.

The activity logs added texture to this finding. Dog walking and gardening emerged as frequently reported activities during bite events—unremarkable, mundane pursuits that nonetheless place people outdoors, moving slowly, with exposed skin, during the precise window when hungry female mosquitoes are foraging. This detail matters for intervention design. A resident who douses themselves in repellent before a hiking trip but walks the dog bare-legged at dusk is exposed in ways that conventional risk messaging may not address. The protective behaviors that matter most may be those woven into daily routines, not those reserved for special occasions.

Why should yard abundance and personal bites decouple? The authors point to several plausible mechanisms. Traps sample a fixed point in a yard for 24 hours, while humans move through a mosaic of microhabitats—the front porch, the neighbor’s yard, the sidewalk, the dog park. Mosquitoes themselves disperse, so the insects biting a person at 6 p.m. may not have emerged anywhere near that person’s property. And bite risk depends on the intersection of vector abundance with human presence, protective behavior, and species-specific biting preferences. A yard can teem with trapped mosquitoes that rarely bite humans, or host a handful of anthropophilic Aedes aegypti that deliver nearly all the risk. Trap counts alone cannot distinguish these scenarios.

The study also carries a methodological message. Bite Diary demonstrates that smartphone-based participatory surveillance—essentially citizen science for biting events—is feasible, and that ordinary residents can contribute usable, temporally fine-grained exposure data. Such data could, in principle, be integrated with existing mosquito control operations, which already collect extensive trap-based surveillance, to produce risk models grounded in real human–mosquito contact rather than proxy measures. The authors note that much of mosquito-borne disease research still relies primarily on entomological metrics, with limited integration of how people’s behaviors shape their contact with mosquitoes, and their findings highlight the limitations of that approach. They argue that linking human behavior to bite exposure is essential for understanding and predicting transmission risk.

There are, of course, caveats. The study was modest in size, conducted in one suburban Florida county over four-day reporting windows, and self-reported bites depend on participants noticing and logging each event—a small bite from a Culex at dusk may go unnoticed even as it transmits a pathogen. Seventy bite records across a year is a thin foundation for firm conclusions, and the authors are careful to frame the work as a feasibility demonstration as much as an epidemiological result. Still, the pattern is consistent and biologically sensible: bites cluster outdoors, at home, in the evening, during ordinary activities, and they do not track trap counts.

For residents of mosquito-rich regions, the practical takeaways are refreshingly concrete. Personal protection is most valuable in the early evening hours, during routine outdoor tasks rather than only during outdoor recreation. And for public health agencies, the study suggests that the next frontier in mosquito-borne disease surveillance may not be a better trap, but a better picture of the human half of the bite—the schedules, habits, and backyards where mosquitoes and people actually meet. In a warming, urbanizing world where dengue and other mosquito-borne viruses keep expanding their range, understanding contact, not just abundance, may prove the difference between watching an outbreak and preventing one.

Subject of Research: Human–mosquito contact and bite exposure patterns measured with a smartphone-based bite diary in suburban Florida.

Article Title: How often, when, and where do people get bitten by mosquitoes? Characterizing human–mosquito contact using Bite Diary

Article References: Maire, T., Futo, M., Tran, M., Snowden, S., Kosinski, K., Jiang, Y., Lord, C. C., & Thongsripong, P. (2026). How often, when, and where do people get bitten by mosquitoes? Characterizing human–mosquito contact using Bite Diary. Parasites & Vectors. https://doi.org/10.1186/s13071-026-07698-2

Image Credits: AI Generated

DOI: 10.1186/s13071-026-07698-2

Keywords: mosquito bites, bite exposure, Bite Diary app, human behavior, outdoor activity, mosquito surveillance, Aedes aegypti, Culex quinquefasciatus, Florida, citizen science, vector-borne disease, Parasites & Vectors

Recently, a research initiative funded by a substantial federal grant seeks to shed light on these dynamics through the lens of mathematical modeling. This innovative project aims to identify how diverse environmental factors—namely temperature fluctuations, light pollution, and the population densities of birds and mosquitoes—can influence the mechanisms of West Nile virus transmission. By delving into these relationships, the researchers aspire to provide actionable insights that could inform local health departments on optimal timing for mosquito control measures, potentially reducing the incidence of WNV infections in human populations.

Megan Meuti, the lead investigator on the project and a respected associate professor of entomology at The Ohio State University, expressed optimism about the outcomes of this study. Her team is committed to unveiling critical elements of the seasonal patterns in WNV transmission, thereby equipping health officials with the necessary data to tailor intervention strategies effectively. “Understanding the subtleties of what drives the transmission process and when it peaks is pivotal for limiting outbreaks,” Meuti stated in reference to the project’s goals.

This grant, amounting to a significant $3 million, is sourced from the Ecology and Evolution of Infectious Disease program associated with the National Institute of Allergy and Infectious Diseases. While the research is based on data collected in Ohio, the mathematical models being employed are designed to be flexible enough to apply to different regions across the United States, enhancing its overall relevance and applicability in various epidemiological contexts.

West Nile virus is recognized as the most common insect-borne virus in the U.S. While many individuals exhibit mild to moderate symptoms akin to those of the flu, around 1% of infected individuals can develop severe illnesses, particularly affecting older adults or those with pre-existing health conditions. This statistic underscores the pathogen’s potential danger and the urgency for effective public health strategies to monitor and control its spread.

Existing research has established a general framework regarding the timing of viral transmission, particularly emphasizing the role of female mosquitoes from the Culex genus—known vectors for WNV. As seasonal changes occur and daylight wanes, these mosquitoes undergo a period of dormancy known as diapause. This state is crucial for their survival throughout the winter months, yet it is postulated that they may harbor viral infections acquired from their avian hosts during this downtime.

Upon the arrival of warmer temperatures in spring, the mosquitoes come out of diapause, potentially becoming reinfected through blood meals taken from those infected birds. They then play a pivotal role in the transmission cycle, as they begin to bite not only birds but also humans, horses, and other mammalian hosts, facilitating the spread of the virus. An area of research focus for Meuti’s team is to interrogate the specific mechanisms that reinitiate viral transmission in the spring and how the virus survives through the colder months.

Moreover, prior studies conducted in Meuti’s lab have suggested that factors such as artificial light and elevated temperatures in urban environments can disrupt the dormancy cycle of mosquitoes. Such disruptions may extend the period during which these mosquitoes are active, allowing for longer seasons of increased human-biting activity. This revelation points to the possibility that WNV transmission patterns may significantly differ between urban and rural settings, raising critical questions about how tailored interventions should be implemented.

Current knowledge indicates that human infections tend to surge during late summer and early fall, whereas the infection status of birds typically peaks before this timeframe. However, there is still a knowledge gap regarding the viral reservoirs during the winter months—an essential factor for proactive health measures. Meuti emphasized, “Understanding where the virus resides in winter is fundamental to predicting future outbreaks.”

To advance this understanding, the research team has initiated extensive fieldwork, collecting both mosquitoes and birds from designated sites across Ohio. Specimens from urban locations, such as Franklin and Lucas counties, are juxtaposed with samples gathered from rural sites, including Union and Ottawa counties, to create a comprehensive dataset. This systematic approach not only enhances the understanding of viral vectors but also allows for a comparative analysis of transmission dynamics between different habitats.

Bird trapping is particularly focused on nine species that are known to be frequent targets of mosquitoes, including American robins, mourning doves, and Northern cardinals. Captured birds will undergo tagging and blood sampling to determine their infection status—providing insight into possible viral reservoirs and the mechanisms of transmission from birds to mosquitoes and, subsequently, humans.

As part of the winter collection protocol, researchers will gather mosquitoes from culverts where they are likely to be overwintering, analyzing whether these specimens are carrying the virus. This examination will delve into the contents of the mosquitoes’ blood meals, revealing which host animals they’ve been feeding on and thus aiding in mapping potential transmission pathways.

The culmination of this extensive data collection and subsequent analysis will enable the research team to validate their hypotheses concerning West Nile virus transmission in both urban and rural contexts. Preliminary expectations suggest a heightened likelihood for urban mosquitoes to be infected with WNV throughout winter months compared to their rural counterparts, promoting further inquiry into the migratory bird role in facilitating infections.

Comparative genetic analyses of RNA sequences extracted from mosquitos will provide key insights into whether the circulating viral strains remain constant or if new variants emerge seasonally, potentially influencing epidemiological dynamics. “If similar RNA sequences are maintained from fall to spring, it suggests local persistence within overwintering mosquitoes,” Meuti explained. “However, significant sequence variations would imply that migratory birds are potentially introducing new strains to local populations.”

Ultimately, once robust predictive models are established, the research team aims to forecast annual transmission trends of West Nile virus. By collaborating closely with local health authorities and mosquito control agencies, the goal is to convert academic insights into practical public health applications, facilitating timely and effective interventions that could not only mitigate human infections but also enhance the overall understanding of zoonotic disease dynamics driven by the interplay of environmental and ecological factors.

In conclusion, the ongoing investigation of the West Nile virus transmission cycle in Ohio promises to bridge important knowledge gaps and inform future strategies for controlling this public health threat. As urban environments become increasingly intertwined with disease transmission, understanding the nuanced ecological dynamics at play will be crucial in safeguarding public health for years to come.

Subject of Research: West Nile Virus Transmission
Article Title: Understanding West Nile Virus Dynamics Through Mathematical Modeling
News Publication Date: October 2023
Web References:
References:
Image Credits:

Keywords: West Nile Virus, Mosquitoes, Public Health, Transmission Dynamics, Mathematical Models, Ecological Research, Vector-Borne Diseases